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Job Description
- Req#: JR0257578
- Use predictive modeling, statistics, machine learning, and other data analysis techniques to collect, explore, and extract insights from the structure and unstructured data.
- Develop software, algorithms, and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
- Assist the business with causal inference and with finding patterns and relationships in data.
Job Details:
Job Description:
In this internship you will be expected to:
The candidate must exhibit written and verbal communication skills.
This is a 3-month internship and compensation will be given accordingly based on candidate education level.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
You must be actively p ursuing a MS degree or PhD degree in Statistics or Data Science or Operation Research or equivalent disciplines with 6+ months' experience in the following:
-A dvanced statistical methodology, probability theory, linear models.
-D atabase structures, research methods, machine learning, Cloud based technologies, or Big Data technologies i.e., Hadoop, HBase, Lucene/Solr, analytics packages i.e., R, Mahout, Matlab, Octave, Weka .-S cripting languages i.e., Python, Perl, JMP/JSL, programming languages i.e., Java, C/C++, SQL, SAS, L, or R.
Preferred Qualifications:6+ months of knowledge/experience in the following:
- Experience teaching or as a teaching assistant at university level.
- Experience with unsupervised learning techniques.Job Type:
Student / InternShift:
Shift 1 (United States of America)Primary Location:
Virtual USAdditional Locations:
Business group:
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
Annual Salary Range for jobs which could be performed in
US, Colorado, New York, Washington, California:$63,000.00-$166,000.00S al ary range dependent on a number of factors including location and experience.
Work Model for this Role
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs. The application window for this job posting is expected to end by 02/09/2024About the company
Intel's innovation in cloud computing, data center, Internet of Things, and PC solutions is powering the smart and connected digital world we live in.